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- Tampere UniversityFI27 papers
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19 papers · 1 filter
Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed Conditions
Tuomas Jalonen, Mohammad Al-Sa'd, Serkan Kiranyaz +1
Detection of rolling-element bearing faults is crucial for implementing proactive maintenance strategies and for minimizing the economic and operational consequences of unexpected…
Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection
Fabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun +7
The increasing reliance on Computed Tomography Pulmonary Angiography (CTPA) for Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved diagnostic so…
The using of bibliometric analysis to classify trends and future directions on ''Smart Farm''
Paweena Suebsombut, Aicha Sekhari, Pradorn Sureepong +2
Climate change has affected the cultivation in all countries with extreme drought, flooding, higher temperature, and changes in the season thus leaving behind the uncontrolled prod…
SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection using Multi-View Echocardiography
Ilke Adalioglu, Mete Ahishali, Aysen Degerli +2
Myocardial infarction (MI) is a severe case of coronary artery disease (CAD) and ultimately, its detection is substantial to prevent progressive damage to the myocardium. In this s…
A Novel Deep Learning Technique for Morphology Preserved Fetal ECG Extraction from Mother ECG using 1D-CycleGAN
Promit Basak, A. H. M Nazmus Sakib, Muhammad E. H. Chowdhury +6
Monitoring the electrical pulse of fetal heart through a non-invasive fetal electrocardiogram (fECG) can easily detect abnormalities in the developing heart to significantly reduce…
Chatbot Application to Support Smart Agriculture in Thailand
Paweena Suebsombut, Pradorn Sureephong, Aicha Sekhari +2
A chatbot is a software developed to help reply to text or voice conversations automatically and quickly in real time. In the agriculture sector, the existing smart agriculture sys…